No worries. And in this case, you are right but that's a smaller architecture, not a Llama 4 sized one trained from scratch. Otherwise, the original NoPE also had ablation studies
LLMS
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Smaller Architecture vs Full-Scale Llama 4 Training from Scratch
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Ok, but that's a smaller architecture, not a Llama 4 sized one trained from scratch. Otherwise, the original NoPE also had ablation studies
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Llama 4 Memory Loss After Extended Time
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tbh it’s been a while since Llama 4, I might have forgotten
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World models and the future of domestic robotics
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There is a human embodied inside for some tasks. Those tasks will quickly go away as the world model learns about your home.
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X1 unveils NEO’s self-learning World Model
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BREAKING : X1 announced 1XWM, a new World Model integrated into the NEO humanoid robot. A new system enables NEO to learn from its past activities. "We are excited to build a future where NEO can teach itself to master any task in any home!"
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Apple and Google Partner on AI Models for Siri
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BREAKING : Apple and Google entered into a multi year partnership on using Gemini models as a base for next Apple Foundation models and Siri. “These models will help power future Apple Intelligence features, including a more personalized Siri coming this year.” It happened
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Skepticism on MIT Paper Production Claims and Memory Limitations
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1) The paper was just published 2 weeks by MIT researchers, did DeepMind really already put it into production? I can't believe that's true. 2) I think it's a great paper and promising method, but perfect memory is a bit far fetched. It's essentially just chunking up the
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RoPE vs NoPE: Ablation Studies in LLM Architecture Design
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I think the problem is that we don't have ablation studies: how would the same architecture and training run do with RoPE vs NoPE?
That being said, I'd say Kimi Linear would be an example where NoPE worked well. -
Code Execution with MCP: Building Efficient AI Agents
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Code execution with MCP: building more efficient AI agents Anthropic https://
buff.ly/1QcODUL
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LLaMA-Factory: Fine-Tune 100+ LLMs Without Coding
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Fine-Tune 100+ LLMs without writing a single line of code! LLaMA-Factory lets you train and fine-tune open-source LLMs and VLMs without writing any code. Here's why it's a game changer for fine-tuning: • Fine-tune 100+ LLMs/VLMs with built-in templates (LLaMA, Gemma, Qwen,